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Monitoring

The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.

Database Monitoring: troubleshooting from the bottom up

A healthy relationship between services and databases is fundamental to overall application performance. Unchecked database issues can compromise application efficiency, user experience, and ultimately, your organization’s bottom line. To steer clear of these consequences, monitoring your databases should be a key component of your observability—and with the launch of Coralogix Database Monitoring, it can be.

Error Monitoring on Client- and Server-Side in NextJS 14+

NextJS is the hot JavaScript framework right now, and like all JavaScript, it can cause quite a few bugs on both the client- and server-side of your applications. One of the most powerful features of NextJS is enabling you to use your code, templates, and patterns across both the server and the client. NextJS will mostly figure out the most efficient place to run. This is super powerful and makes NextJS applications feel very fast compared to strictly client-side rendered applications.

How to Use Relational Fields: Some Nifty Use Cases

We recently introduced relational fields, a new feature that allows you to query spans based on their relationship to each other within a trace. You can now query for spans where its root span, direct parent span, or any other single span in the trace has certain attributes. We currently support the following three prefixes: root. - Identifies the root span within a trace. To find a match, any additional root. filters in your query will search through fields only in the specified root. span.

What's New in Progress Flowmon ADS 12.3?

IT professionals seek out solutions that provide in-depth visibility into their networks and streamline processes so they can more efficiently catch anomalies. A recent update to Progress Flowmon Anomaly Detection System (ADS) will address these concerns our customers have. This blog gives you the first look into how Flowmon ADS 12.3 improves your organization’s threat analyses and cybersecurity strategies.

Square Pegs, Round Holes: The Challenge of Integrating MELT Data into Traditional Data Warehouses

This is the first in a series of blog posts about the disconnect between modern IT and security teams and the vendors they’re forced to work with. If you’re looking for the second and third posts, you can find them here and here. Imagine this scenario: You’re grappling with the ever-escalating costs of your legacy solutions. What’s the logical next step? For many, it’s exploring the new wave of tools emerging, such as data warehouses.

Cribl Collaborates with Microsoft: Empowering Enterprises to Strengthen their Security Operations

As the cybersecurity landscape becomes more and more complex. It seems like we hear about a major breach of a different company every day. Enterprises are looking for robust solutions to help them manage the surge in data and security incidents. That’s why our recent collaboration announcement with Microsoft means so much to us. It’s not just a piece of paper; it’s a testament to our dedication to providing customers with the best tools and solutions for the job.

Aggregate, correlate, and act on alerts faster with AIOps-powered Event Management

Maintaining service availability is a challenge in today’s complex cloud environments. When a critical incident arises, the underlying cause can be buried in a sea of alerts from interconnected services and applications. Central operations teams often face an overload of disparate alerts, causing confusion, delayed incident response, alert fatigue, and redundant resolution efforts. These issues can negatively impact revenue and customer experience, especially during an outage.

Track changes in your containerized infrastructure with Container Image Trends

Datadog’s Container Images view provides key insights into every container image used in your environment, helping you quickly detect and remediate security and performance problems that can affect multiple containers in your distributed system. In addition to having a snapshot of the performance of your container fleet, it’s also critical to understand large-scale trends in security posture and resource utilization over time.

Managing High Volume with OpenTelemetry

As your systems grow, so do the challenges of managing high-volume telemetry data. From horizontal scalability strategies to efficient data aggregation and storage techniques, we'll cover everything you need to know to keep pace with your expanding infrastructure. Don't let scalability constraints hinder your observability efforts—learn how OpenTelemetry can empower you to manage high volumes of telemetry data effectively and efficiently.